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README.md

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+### Vision Transformer (ViT) with LoRA for Spectrogram Regression
+
+---
+### Fine-Tuning Details
+
+| Category              | Specification                                                                                     |
+|-----------------------|---------------------------------------------------------------------------------------------------|
+| **Framework**         | PyTorch                                                                                          |
+| **Architecture**      | Pre-trained Vision Transformer (ViT)                                                             |
+| **Adaptation Method** | LoRA (Low-Rank Adaptation)                                                                        |
+| **Task**             | Regression on time-frequency representations                                                      |
+| **Target Variables**  | 1. Chirp start time (ms)<br>2. Start frequency (kHz)<br>3. End frequency (kHz)                   |
+| **Training Protocol** | • Automatic Mixed Precision (AMP)<br>• Early stopping<br>• Learning Rate scheduling              |
+| **Output**           | Quantitative predictions + optional natural language descriptions                                 |
+
+---
+### Resource Details
+
+| Resource | Description | Link |
+|----------|-------------|------|
+| Trained Vision Transformer Model | Access to a pre-trained Vision Transformer model fine-tuned on synthetic spectrograms for chirp localization | [HuggingFace Model Hub](https://huggingface.co/nubahador/Fine_Tuned_Transformer_Model_for_Chirp_Localization/tree/main) |
+| Synthetic Spectrogram Dataset | Download link for 100,000 synthetic spectrograms with corresponding labels for chirp localization | [HuggingFace Dataset Hub](https://huggingface.co/datasets/nubahador/ChirpLoc100K___A_Synthetic_Spectrogram_Dataset_for_Chirp_Localization/tree/main) |
+| PyTorch Implementation | Repository containing the PyTorch code for fine-tuning the Vision Transformer on spectrograms | [Implementation GitHub Repository](https://github.com/nbahador/Train_Spectrogram_Transformer) |
+| Synthetic Chirp Generator | Python package for generating synthetic chirp spectrograms (images with corresponding labels) | [Dataset GitHub Repository](https://github.com/nbahador/chirp_spectrogram_generator) |
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+---
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         <h4 style="margin-top: 0; color: #5f6368;">🧑‍💻 Curated by</h4>